Luqmon

Scopus Publications

Assessment of the trophic level and self-cleaning ability of water polluted by nutrients in the Zarafshan River, Uzbekistan
Shobegim Shoergashova, Erkin Karimov, Luqmon Samiev, Bakhtiyor Karimov
Environmental Research and Technology, 2026
The aim of this study was to assess the water quality of the Zarafshan River through a comprehensive evaluation of its trophic state, nutrient loads, self-cleaning ability, and the toxicity of nitrogen compounds for hydrobionts. This is the first study of its kind conducted on the Zarafshan River. The trophic state was determined by nutrient content, the self-cleaning ability was assessed using the nitrification index method, and the toxicity of nitrogen compounds was evaluated using the aggregation index. Eutrophication was observed at all studied river Gauging Stations (GS), primarily caused by high nitrate nitrogen concentrations. The self-cleaning ability of the water was classified as “high” in the lower reaches of the river and “medium” along its length. Major pollution sources were identified as agricultural influence from Siab collector (GS-3) and industrial wastewater from Navoiazot chemical factory (GS-8). It is recommended to intensify the monitoring of total phosphorus at GS-3 and mineral nitrogen at GS-8, alongside implementing measures to prevent anthropogenic pollution to mitigate nutrient contamination in the Zarafshan River.
Trends in Sediment Modeling Research and Their Ecological Implications for Ecosystem Sustainability: Web of Science Bibliometric Analysis (2006–2025)
Arifjanov Aybek Muhamedjanovich, Samiev Luqmon Naimovich, Allayorova Latofat Normengli qizi, Ochilov Hasan, Xodjayeva Sevara
Research in Ecology, 2026
Sediment transport and deposition in rivers, lakes, and reservoirs are influenced by both natural processes and human activities. Excessive sediment accumulation in clarifiers reduces efficiency, increases turbidity, and deteriorates water quality. Despite growing research, there is limited bibliometric evidence on global trends and methodological approaches in clarifier modeling. This study addresses this gap by conducting a bibliometric analysis of sediment transport and turbidity management research from 2006 to 2025. Data were retrieved from the Web of Science Core Collection using the keywords “Computational Fluid Dynamics (CFD)” and “sedimentation tank.” A total of 110 publications were systematically reviewed to identify thematic patterns, leading authors and institutions, and influential journals. The results show that China and India are the most active contributors, with the National Institute of Technology (India) ranking as the top institution (7 publications). Approximately 90% of studies employed CFD or related mathematical and hydrodynamic models to investigate sediment behavior and flow dynamics. Water Research emerged as the most influential journal in this domain.This review demonstrates that clarifier research remains technically oriented, dominated by engineering and hydrodynamic modeling, while ecological perspectives are gradually emerging. The findings provide a clearer understanding of global research directions and highlight the need for cross-disciplinary collaboration to strengthen ecological applications of sediment modeling.
Analysis and Design of the Trajectory of Water Droplets from Sprinklers Using Optical Observation and Mathematical Modelling
Aybek Arifjanov, Lukmon Samiev, Khumora Jalilova, Sirojiddin Jalilov, Umida Vokhidova, Elza Tursunova
Journal of Sustainable Development of Energy Water and Environment Systems, 2026
In this study, the trajectory of water droplets in a sprinkler irrigation system was studied using the optical tracking method. The analysis was carried out on the basis of 1920×1080 pixel, 60 frame/s video recordings taken in real field conditions. Image segmentation and trajectory detection algorithms were developed on the OpenCV and Python platforms to determine the trajectory of water droplets. The main focus of the study was to determine the dynamics of the movement of water droplets with a diameter of 0.002 meters after exiting a sprinkler head rotating at an angle of 360°. The following parameters were taken into account in the mathematical modeling process: exit velocity - 11 m/s, exit angle - 30°. Based on these data, the trajectory of the droplet was calculated using the equations of ballistic motion and air resistance (drag). The Random Forest model was used to assess the influence of factors. The results showed that the factors that have the greatest impact on the water spray trajectory are wind (31.2%) and terrain slope (25.6%). This means that small changes in wind speed and slope significantly reduce the water spray radius and cause uneven water distribution. The Convolutional Neural Network (CNN) model was used to spatially analyze and classify areas, achieving 93% accuracy in flat terrain and 74–79% accuracy in windy and uneven areas. This result indicates that the modeled system works with high reliability even in real field conditions. At the end of the study, the sprinkler exit angle and installation spacing were optimized, and the drift zones of water due to wind were reduced from 21.8% to 7.1%. This change has increased the stability of water distribution and allowed for a significant reduction in water consumption in crop production.
Dynamics of Suspended Flow in Open Channels
Aybek M. Arifjanov, Xi Chen, A. Fatxulloev Mirzotilloevich, Luqmon N. Samiev
Dynamics of Suspended Flow in Open Channels, 2026
Regional adaptability and integrated evaluation of saline-alkali soil remediation technologies: a comprehensive review
Yuanhang Guo, Jianshu Dong, Jingrun Wang, Qiang Meng, Jiajia Ma, Samiev Luqmon, Ping Gong, E Reaihan, Hongguang Liu
Ecological Indicators, 2025
Global soil salinization is intensifying and posing serious threats to food security, ecological stability, and sustainable land use. Bibliometric analyses indicate that most existing studies have focused on plant responses to salt stress, salinity tolerance mechanisms, and soil remediation technologies targeting physicochemical properties. However, recent reviews remain limited to isolated technical analyses or parallel comparisons, with insufficient attention to the compatibility of remediation technologies under complex interactions involving climatic conditions, geographical features, and resource endowments. This study systematically evaluated the regional adaptability of saline-alkali soil remediation technologies across three representative zones: inland arid regions, the Hetao irrigation area, and coastal humid regions. The evaluation was based on fundamental reclamation mechanisms and regional pedoclimatic characteristics. A comprehensive assessment incorporating SWOT analysis, modified Delphi method, life cycle assessment, and techno-economic analysis was employed to evaluate the integrated performance of various remediation approaches. The results revealed distinct optimal strategies. Specifically, water-saving and salt-inhibition technologies proved most effective in inland arid regions, integrated engineering and bio-stimulation approaches were optimal in the Hetao irrigation district, and organic amendments combined with ecological remediation performed best in coastal humid zones. These findings provide a theoretical foundation for precision soil management and support the sustainable utilization of reserve cultivated land resources.
Determining land surface climate change using long historical meteorological data in Aral Bay region
Luqmon Samiyev, G‘iyosiddin Rustamov, Nozim Nosirov
Aip Conference Proceedings, 2025
SELECTING AN EFFECTIVE SPRINKLER IRRIGATION SYSTEM SPACING: BASED ON ISODENSITY CONTOUR MAPPING-VORONOI-LIKE CONNECTION-HOTSPOT CLUSTERING MODELS
Arifjanov Aybek, Samiev Luqmon, Abduraimova Dilbar, Jalilova Khumora
Water Conservation and Management, 2025
The main objective of this study is to determine the optimal spacing of sprinkler irrigation systems in arid and water-scarce regions of Uzbekistan. The study used a combination of isodensity contour mapping, Voronoi-like connection, and hotspot overlap analysis methods. Sprinklers with 8 m, 10 m, and 12 m spacing were modeled in zigzag and linear patterns. The results showed that the 10-meter zigzag pattern was the most effective model, ensuring consistent water distribution. The model developed at the end of the study can serve to increase irrigation efficiency and ensure rational use of water resources.
DIGITAL TWIN AND IOT-BASED HYDRUS MODELING APPROACH FOR ADAPTIVE MANAGEMENT OF DRIP IRRIGATION SYSTEMS
Arifjanov Aybek, Samiev Luqmon, Jalilov Sirojiddin, Khushnudbek Shamsiddinov
Water Conservation and Management, 2025
In regions of Uzbekistan where water resources for irrigation are limited, drip irrigation optimization is of great importance. This study evaluated the effectiveness of the AdaptiveDrip-Uz system. This system includes HYDRUS 2D/3D modeling, artificial intelligence (AI) module, real-time IoT sensors, and GIS-based monitoring components. The model, built on 30 days of field data, automatically controls the irrigation regime based on humidity, temperature, evapotranspiration, and salinity. Of the various AI models, ANN (Artificial Neural Networks) showed the highest accuracy (R2 = 0.951), resulting in a 27% reduction in water consumption and a 24% increase in yield. Moisture and salinity contours, sensor analysis, and a 3D visual interface created through HYDRUS confirmed the high efficiency and flexibility of the system. A SWOT analysis of the system was also conducted, identifying its strengths and weaknesses, and evaluating it as a practical and sustainable innovative solution in the agroecosystems of Uzbekistan. The AdaptiveDrip-Uz model serves as a practical example of a real-time digital agriculture approach adapted to climate change.
Decentralized Energy Management in Electrical and Thermal Microgrids Utilizing Reinforcement Learning
Journal of Operation and Automation in Power Engineering, 2025
STABLE GROUNDWATER TABLE AND RISING SALINITY IN ANGOR DISTRICT OF SURKHANDARYA REGION (UZBEKISTAN): SEASONAL ANALYSIS
, Arifjanov Aybek, Samiyev Luqmon, Li Fadong, Gafurov Zafar, Eshboyev Navruz, Abduraimova Dilbar, Xiaohui Pan, Xumora Jalilova, Akramov Jamoliddin, , , , , , , , , and
Water Conservation and Management, 2025
Seasonal changes in groundwater levels and salinity were investigated in the irrigated lands of Angor district, Uzbekistan from 2018 to 2023. Using field data from 129 wells and GIS-based interpolation, the study found a generally stable water table (mean depths of 2.28 m in April, 2.29 m in July, 2.23 m in October), but a significant increase in groundwater mineralization from 1.65 g/L in April to 2.04 g/L in October. This rise in salinity after the growing season indicates growing soil salinization risk. Spatial analysis revealed higher salinity near desert margins and in areas of intensive irrigation, highlighting key drivers of degradation. The results suggest current irrigation practices in Angor are unsustainable. To ensure long-term agricultural viability, improved land and water management strategies are urgently needed.
Impact of Climate Change on the Cryosphere of the Ugam Chatkal National Park, Bostonliq District, Uzbekistan, During the Post-Soviet Period, Based on Remote Sensing and Statistical Analysis
Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev
Forum Geografi, 2024
Assessment of groundwater levels and mineralization in irrigated areas using geographic information systems (a case study of Buvayda district)
Luqmon Samiyev, Jamoliddin Akramov, Navruz Eshboyev, Shaxida Xodjimuxamedova, Bekzod Makhmudov
Bio Web of Conferences, 2024
The analysis of groundwater table variations in Termez district of Surkhandarya region, Uzbekistan: A spatio-Temporal approach
Aybek Arifjanov, Luqmon Samiyev, Navruz Eshboyev, Shaxida Xodjimuxamedova, Jamoliddin Akramov, Bekzod Makhmudov
Bio Web of Conferences, 2024
Overview of Sustainable Drip Irrigation Systems in Central Asia
Aybek Arifjanov, Luqmon Samiev, Sirojiddin Jalilov
E3s Web of Conferences, 2024
Sustainable Green Development: Water-Saving Irrigation Technologies
Aybek Arifjanov, Luqmon Samiev, Dilbar Abduraimova, Khumora Jalilova
E3s Web of Conferences, 2024
The Detection of Past and Future Land Use and Land Cover Change in Ugam Chatkal National Park, Uzbekistan, Using CA-Markov and Random Forest Machine Learning Algorithms
Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev
Forum Geografi, 2024
Retracted:Assessment of the productivity of river sediments
Aybek Arifjanov, Luqmon Samiyev, Farrukh Babajanov, Suhrob Tadjiboyev, Jamoliddin Akramov
E3s Web of Conferences, 2024
Analysis of the causes of silting of natural channels
Luqmon Samiev, Umida Vokhidova, Elza Tursunova, Tursinoy Apakhodjaeva, Farrukh Babajanov, Samandar Shaymardonov
E3s Web of Conferences, 2024
Vegetation Cover Change in Ugam Chatkal National Park, Uzbekistan, in Relation to Climate Variables During the Post-Soviet Period (1991-2022)
Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev
Forum Geografi, 2024
Determination of the filtration consumption from the body of the soiled dam
L N Samiev, Q Ch Ulashov, A Sh Suyunov, D N Mamatova, Sh Sh Xusanov
Iop Conference Series Earth and Environmental Science, 2024
Dynamics of sediment formation in natural lakes and reservoirs
Luqmon Samiev, Samandar Shaymardanov, Sardor Xoshimov, Olimjon Mamadiyorov
E3s Web of Conferences, 2023
Assessment of the effect of evaporation on the hydrological regime of the water reservoir
Luqmon Samiev, Qudratilla Ulashov, Mushtariybonu Gaffarova, Dilmurod Ruziev, Umida Voxidova
E3s Web of Conferences, 2023
Hydraulic calculation of filtration system in drip irrigation
Akromxodja Ishanxodjayev, Maqsud Оtakhanov, Luqmon Samiev, Dilbar Abduraimova, Sirojiddin Jalilov
E3s Web of Conferences, 2023
Effects of water level changes in reservoir basin on coastal erosion
Aybek Arifjanov, Samiyev Luqmon, Zaytuna Ibragimova, Q. Ch. Ulashov
E3s Web of Conferences, 2023
Transport capacity of flow in earthline channels
Aybek Arifjanov, Luqmon Samiyev, Sardor Xoshimov, Samandar Shaymardanov, Suhrob Tadjiboyev
E3s Web of Conferences, 2023
Hydrological analysis of livestock water reservoir using GIS technologies
Lukmon Samiev, Abbos Khamidov, Akmal Ungalov, Giyosiddin Mamatisaev
E3s Web of Conferences, 2023
Geographic Information System for changing the level of soil salinity in Jizzakh province, Uzbekistan
Ilkhom Ruziev, Lukmon Samiev, Durdona Mustafoyeva, Shavkat Nortaev, Shohzod Yakhshiev
E3s Web of Conferences, 2023
Long-term forecast of flow dynamics of Chirchik basin
Khusen Gafforov, Akmal Ungalov, Lukmon Samiev, Shakhnoza Baxronova, Nodir Olimjonov, Bekhroz Bektashov
E3s Web of Conferences, 2023
Draft sprinkler irrigation system design development
Luqmon Samiev, Khumora Jalilova, Sirojiddin Jalilov, Jamila Xusanova, Dilnoza Mamatova
E3s Web of Conferences, 2023
Development of technology for reuse of collector trench waters
Luqmon Samiev, Holmurod Qurbanov, Jamila Xusanova, Dilnoza Mamatova, Sirojiddin Djalilov, Khumora Jalilova
E3s Web of Conferences, 2023
Calculation of effective hydraulic parameters of concrete irrigation canals
Alisher Fatxulloyev, Qudratjon Rakhimov, Davronjon Allayorov, Luqmon Samiev, Makhsud Оtakhonov
Journal of Water and Land Development, 2023
Stratigraphic, lithological and petrographic characteristics and oil and gas potential of the pre-Jurassic deposits of the Barsakelmessky trough and adjacent territories
Leyla Sharafutdinova, Gofur Jalilov, Isomiddin Togaev, Luqmon Samiev, K T Rakhimov, T Apakhodjaeva
Iop Conference Series Earth and Environmental Science, 2023
Increasing Efficient Use of Water Storage Pools
A. Arifjanov, Sh. Juraev, T. Kosimov, Sh. Khaidarov, J. Nodirov
Aip Conference Proceedings, 2022
Increasing Efficient Use of Water Storage Pools
Aybek Arifjanov, Luqmon Samiev, Sherzod Khaydarov, Toxirjon Kasimov, Sherali Juraev
Aip Conference Proceedings, 2022
Structural Interpretation of the Allocated Complexes Based on Remote Sensing Materials of the Earth and Using in Geological Researches (Case of Southern Nurata Mountains)
Isomiddin Togaev, Anvarbek Nurkhodjaev, Shamshodbek Akmalov, Luqmon Samiev, Maqsud Otakhonov, Dinislom Atakulov
Aip Conference Proceedings, 2022
Patterns of Location and Conditions of Formation and Accumulations of Natural Bitumen and High-Viscosity Oils in Geology of Uzbekistan
Tuychi Shoymurotov, Isomiddin Togaev, Shamshodbek Akmalov, Luqmon Samiev, Maqsud Otakhonov, Tursinoy Apakhodjaeva
Aip Conference Proceedings, 2022
Importance of river sediments in soil fertility
Tatiana Kaletová, Aybеk Arifjanov, Luqmon Samiev, Farrukh Babajanov
Journal of Water and Land Development, 2022
Evaluation of the hydraulic efficiency of the sprinkler irrigation system
A Arifjanov, T Kaletova, D Abduraimova, L Samiev, X Jalilova
Iop Conference Series Earth and Environmental Science, 2022
Model of urban groundwater level management in drainage systems
Aybek Arifjanov, Luqmon N. Samiev, Zokhidjon Abdulkhaev, Dilbar Abduraimova, Shodiyor Yusupov, Tatiana Kaletová
Acta Hydrologica Slovaca, 2022
To the determination of non-washable speed in the channels bed consisting of disconnected soils
Luqmon Samiev, Qudratjon Rakhimov, Zaytuna Ibragimova, Davron Allayorov
E3s Web of Conferences, 2021
Irrigation network extraction in arid regions with using worldview-2 satellite data
Shamshod Akmalov, Luqmon Samiev, Tursunoy Apakhodjaeva, Dinislom Atakulov, Sarvar Melikuziyev
E3s Web of Conferences, 2021
Calculation of filtration process in channels
Aybek Arifjanov, Luqmon Samiev, Ifoda Ahmedkhodjaeva, Qudratjon Rakhimov, Shokhrux Sobirov
E3s Web of Conferences, 2021
Groundwater Level Analyse in Urgench City with Using Modflow Modeling and Forecasting System
Aybek Arifjanov, Luqmon Samiev, Shodiyor Yusupov, Djamila Khusanova, Zokhidjon Abdulkhaev, Suhrob Tadjiboyev
E3s Web of Conferences, 2021
Extraction of urban construction development with using Landsat satellite images and geoinformation systems
Aybеk Arifjanov, Shamshodbek Akmalov, Luqmon Samiev
Journal of Water and Land Development, 2021
Improvement of design parameters of the sediment reservoirs
Aybek Arifjanov, Luqmon N. Samiev, Tatiana Kaletová
Acta Hydrologica Slovaca, 2021
Processes of Mirishkor channel using GIS technologies
A Arifjanov, L Samiev, T Apakhodjaeva, X Qurbonov, Sh Yusupov, D Atakulov
Iop Conference Series Materials Science and Engineering, 2020
The influence of sedimentation reservoir on hydraulic parameters of irrigation channels
L Samiyev, D Allayorov, D Atakulov, F Babajanov
Iop Conference Series Materials Science and Engineering, 2020
Method designing of open drainages
A Fatxulloyev, D Abduraimova, M Otakhonov, D Atakulov, L Samiev
Iop Conference Series Materials Science and Engineering, 2020
Increasing heat efficiency by changing the section area of the heat transfer pipelines
Aybek Arifjanov, Nosir Xodjiyev, Sherali Jurayev, Кozim Кurbanov, Luqmon Samiev
Iop Conference Series Materials Science and Engineering, 2020
Hydraulic friction coefficient at hydraulic mixing movement in pressure pipelines
Aybek Arifjanov
Journal of Advanced Research in Dynamical and Control Systems, 2020
Determination of filtration strength and initial filtration gradient in soil constructions
Aybek Arifjanov
Journal of Advanced Research in Dynamical and Control Systems, 2020
Distribution of river sediment in channels
Aybek Arifjanov, Luqmon Samiev, Tursunoy Apakhodjaeva, Shamshodbek Akmalov
Iop Conference Series Earth and Environmental Science, 2019
Dependence of fractional structure of river sediments on chemical composition
Arifjanov Aybek*, , Luqmon Samiev, Shamshodbek Akmalov, , and
International Journal of Innovative Technology and Exploring Engineering, 2019
Hydraulic calculation of horizontal open drainages
Aybek Arifjanov, Maqsud Otaxonov, Luqmon Samiev, Shamshodbek Akmalov
E3s Web of Conferences, 2019

Luqmon

RESEARCH INTERESTS

Scopus Publications